Overview

Brought to you by YData

Dataset statistics

Number of variables39
Number of observations1 049
Missing cells14 984
Missing cells (%)36.6%
Duplicate rows19
Duplicate rows (%)1.8%
Total size in memory2.1 MiB
Average record size in memory2.0 KiB

Variable types

Numeric2
DateTime7
Boolean7
URL1
Categorical7
Text10
Unsupported5

Alerts

labels_verification_hasDachExclusion has constant value "False" Constant
report_reason has constant value "advertising_or_promotional" Constant
labels_verification_verificationSource has constant value "invitation" Constant
report_reasons_0 has constant value "marketingOrSpam" Constant
filtered has constant value "False" Constant
report_reviewVisibility has constant value "visible" Constant
report_source has constant value "BusinessUser" Constant
pending has constant value "False" Constant
report_createdDateTime has constant value "2023-10-25 08:33:05+00:00" Constant
Dataset has 19 (1.8%) duplicate rowsDuplicates
consumer_countryCode is highly overall correlated with hasUnhandledReportsHigh correlation
hasUnhandledReports is highly overall correlated with consumer_countryCodeHigh correlation
labels_verification_isVerified is highly overall correlated with labels_verification_reviewSourceName and 2 other fieldsHigh correlation
labels_verification_reviewSourceName is highly overall correlated with labels_verification_isVerified and 1 other fieldsHigh correlation
labels_verification_verificationLevel is highly overall correlated with labels_verification_isVerified and 2 other fieldsHigh correlation
rating is highly overall correlated with labels_verification_isVerified and 1 other fieldsHigh correlation
consumer_countryCode is highly imbalanced (82.4%) Imbalance
consumersReviewCountOnSameDomain is highly imbalanced (83.7%) Imbalance
consumer_isVerified is highly imbalanced (76.2%) Imbalance
hasUnhandledReports is highly imbalanced (98.9%) Imbalance
consumer_imageUrl has 870 (82.9%) missing values Missing
dates_experiencedDate has 227 (21.6%) missing values Missing
report_reason has 1048 (99.9%) missing values Missing
consumersReviewCountOnSameLocation has 1049 (100.0%) missing values Missing
report_reasons_0 has 1048 (99.9%) missing values Missing
report has 1049 (100.0%) missing values Missing
report_reviewVisibility has 1048 (99.9%) missing values Missing
labels_verification_verificationLevel has 56 (5.3%) missing values Missing
report_source has 1048 (99.9%) missing values Missing
reply_message has 672 (64.1%) missing values Missing
reply has 1049 (100.0%) missing values Missing
labels_merged has 1049 (100.0%) missing values Missing
reply_publishedDate has 672 (64.1%) missing values Missing
location has 1049 (100.0%) missing values Missing
report_createdDateTime has 1048 (99.9%) missing values Missing
reply_updatedDate has 1038 (99.0%) missing values Missing
dates_updatedDate has 964 (91.9%) missing values Missing
consumersReviewCountOnSameLocation is an unsupported type, check if it needs cleaning or further analysis Unsupported
report is an unsupported type, check if it needs cleaning or further analysis Unsupported
reply is an unsupported type, check if it needs cleaning or further analysis Unsupported
labels_merged is an unsupported type, check if it needs cleaning or further analysis Unsupported
location is an unsupported type, check if it needs cleaning or further analysis Unsupported
likes has 657 (62.6%) zeros Zeros

Reproduction

Analysis started2025-03-23 10:56:48.972152
Analysis finished2025-03-23 10:56:52.533859
Duration3.56 seconds
Software versionydata-profiling vv4.15.1
Download configurationconfig.json

Variables

consumer_numberOfReviews
Real number (ℝ)

Distinct40
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9027645
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2025-03-23T11:56:52.679682image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile16
Maximum78
Range77
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.6836991
Coefficient of variation (CV)1.3632511
Kurtosis29.282232
Mean4.9027645
Median Absolute Deviation (MAD)2
Skewness4.3559351
Sum5143
Variance44.671834
MonotonicityNot monotonic
2025-03-23T11:56:52.881728image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 309
29.5%
2 206
19.6%
3 121
 
11.5%
4 73
 
7.0%
5 63
 
6.0%
7 46
 
4.4%
6 46
 
4.4%
8 30
 
2.9%
10 21
 
2.0%
9 20
 
1.9%
Other values (30) 114
 
10.9%
ValueCountFrequency (%)
1 309
29.5%
2 206
19.6%
3 121
 
11.5%
4 73
 
7.0%
5 63
 
6.0%
6 46
 
4.4%
7 46
 
4.4%
8 30
 
2.9%
9 20
 
1.9%
10 21
 
2.0%
ValueCountFrequency (%)
78 1
0.1%
68 1
0.1%
54 1
0.1%
44 1
0.1%
40 1
0.1%
39 1
0.1%
38 1
0.1%
37 2
0.2%
36 1
0.1%
35 1
0.1%
Distinct1030
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
Minimum2017-12-03 07:07:45+00:00
Maximum2025-02-25 12:32:24+00:00
Invalid dates0
Invalid dates (%)0.0%
2025-03-23T11:56:53.063584image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-23T11:56:53.246460image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

labels_verification_isVerified
Boolean

High correlation 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
False
684 
True
365 
ValueCountFrequency (%)
False 684
65.2%
True 365
34.8%
2025-03-23T11:56:53.386691image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

consumer_imageUrl
URL

Missing 

Distinct173
Distinct (%)96.6%
Missing870
Missing (%)82.9%
Memory size47.9 KiB
https://user-images.trustpilot.com/644282084226570013369c78/73x73.png
 
2
https://user-images.trustpilot.com/58f604090000ff000a8e4132/73x73.png
 
2
https://user-images.trustpilot.com/66b4d8041a266893e9292737/73x73.png
 
2
https://user-images.trustpilot.com/6690076acef96e775f533a5f/73x73.png
 
2
https://user-images.trustpilot.com/6675bc4775540f057594b174/73x73.png
 
2
Other values (168)
169 
(Missing)
870 
ValueCountFrequency (%)
https://user-images.trustpilot.com/644282084226570013369c78/73x73.png 2
 
0.2%
https://user-images.trustpilot.com/58f604090000ff000a8e4132/73x73.png 2
 
0.2%
https://user-images.trustpilot.com/66b4d8041a266893e9292737/73x73.png 2
 
0.2%
https://user-images.trustpilot.com/6690076acef96e775f533a5f/73x73.png 2
 
0.2%
https://user-images.trustpilot.com/6675bc4775540f057594b174/73x73.png 2
 
0.2%
https://user-images.trustpilot.com/66f2c8d1094dde250b01c7b6/73x73.png 2
 
0.2%
https://user-images.trustpilot.com/57deca460000ff000a457fa7/73x73.png 1
 
0.1%
https://user-images.trustpilot.com/64f8dc0f340cdf001152533d/73x73.png 1
 
0.1%
https://user-images.trustpilot.com/64f895fcc0317b0012dfc6a2/73x73.png 1
 
0.1%
https://user-images.trustpilot.com/5d332e8e6dcb5804be7c593f/73x73.png 1
 
0.1%
Other values (163) 163
 
15.5%
(Missing) 870
82.9%
ValueCountFrequency (%)
https 179
 
17.1%
(Missing) 870
82.9%
ValueCountFrequency (%)
user-images.trustpilot.com 179
 
17.1%
(Missing) 870
82.9%
ValueCountFrequency (%)
/66f2c8d1094dde250b01c7b6/73x73.png 2
 
0.2%
/58f604090000ff000a8e4132/73x73.png 2
 
0.2%
/66b4d8041a266893e9292737/73x73.png 2
 
0.2%
/6690076acef96e775f533a5f/73x73.png 2
 
0.2%
/6675bc4775540f057594b174/73x73.png 2
 
0.2%
/644282084226570013369c78/73x73.png 2
 
0.2%
/57deca460000ff000a457fa7/73x73.png 1
 
0.1%
/64f8dc0f340cdf001152533d/73x73.png 1
 
0.1%
/64f895fcc0317b0012dfc6a2/73x73.png 1
 
0.1%
/5d332e8e6dcb5804be7c593f/73x73.png 1
 
0.1%
Other values (163) 163
 
15.5%
(Missing) 870
82.9%
ValueCountFrequency (%)
179
 
17.1%
(Missing) 870
82.9%
ValueCountFrequency (%)
179
 
17.1%
(Missing) 870
82.9%

rating
Categorical

High correlation 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size51.3 KiB
1
508 
5
284 
4
153 
2
60 
3
 
44

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1 049
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row5
3rd row4
4th row5
5th row5

Common Values

ValueCountFrequency (%)
1 508
48.4%
5 284
27.1%
4 153
 
14.6%
2 60
 
5.7%
3 44
 
4.2%

Length

2025-03-23T11:56:53.517336image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-23T11:56:53.659084image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
1 508
48.4%
5 284
27.1%
4 153
 
14.6%
2 60
 
5.7%
3 44
 
4.2%

Most occurring characters

ValueCountFrequency (%)
1 508
48.4%
5 284
27.1%
4 153
 
14.6%
2 60
 
5.7%
3 44
 
4.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1049
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 508
48.4%
5 284
27.1%
4 153
 
14.6%
2 60
 
5.7%
3 44
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1049
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 508
48.4%
5 284
27.1%
4 153
 
14.6%
2 60
 
5.7%
3 44
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1049
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 508
48.4%
5 284
27.1%
4 153
 
14.6%
2 60
 
5.7%
3 44
 
4.2%

dates_experiencedDate
Date

Missing 

Distinct424
Distinct (%)51.6%
Missing227
Missing (%)21.6%
Memory size8.3 KiB
Minimum2020-08-03 12:53:02+00:00
Maximum2025-02-20 00:00:00+00:00
Invalid dates0
Invalid dates (%)0.0%
2025-03-23T11:56:53.825675image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-23T11:56:54.005736image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
False
1049 
ValueCountFrequency (%)
False 1049
100.0%
2025-03-23T11:56:54.164263image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

report_reason
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing1048
Missing (%)99.9%
Memory size33.0 KiB
2025-03-23T11:56:54.309310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length26
Median length26
Mean length26
Min length26

Characters and Unicode

Total characters26
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowadvertising_or_promotional
ValueCountFrequency (%)
advertising_or_promotional 1
100.0%
2025-03-23T11:56:54.606810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 4
15.4%
r 3
11.5%
i 3
11.5%
a 2
 
7.7%
t 2
 
7.7%
n 2
 
7.7%
_ 2
 
7.7%
d 1
 
3.8%
v 1
 
3.8%
e 1
 
3.8%
Other values (5) 5
19.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 26
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 4
15.4%
r 3
11.5%
i 3
11.5%
a 2
 
7.7%
t 2
 
7.7%
n 2
 
7.7%
_ 2
 
7.7%
d 1
 
3.8%
v 1
 
3.8%
e 1
 
3.8%
Other values (5) 5
19.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 26
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 4
15.4%
r 3
11.5%
i 3
11.5%
a 2
 
7.7%
t 2
 
7.7%
n 2
 
7.7%
_ 2
 
7.7%
d 1
 
3.8%
v 1
 
3.8%
e 1
 
3.8%
Other values (5) 5
19.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 26
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 4
15.4%
r 3
11.5%
i 3
11.5%
a 2
 
7.7%
t 2
 
7.7%
n 2
 
7.7%
_ 2
 
7.7%
d 1
 
3.8%
v 1
 
3.8%
e 1
 
3.8%
Other values (5) 5
19.2%

text
Text

Distinct1030
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size718.2 KiB
2025-03-23T11:56:55.138857image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length4 470
Median length568
Mean length357.99809
Min length10

Characters and Unicode

Total characters375 540
Distinct characters136
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 011 ?
Unique (%)96.4%

Sample

1st rowI got a reply from Veronique Keytrade and I can't reply to that message but basically Keytrade offered 50 euros with the promocode "50inmypocket" last year which I did, but every time I tried completing my sign up, the app and website did not work. The QR code also didn't work. I emailed Keytrade and it was some automated message with help to log in. I got fed up and emailed them again but didn't get anymore replies. I can't even close the account. I would show screenshots if I could.
2nd rowI am an ex-Belgian, now residing in Australia, who receives a modest pension from the Federal Pensions Service. ING's excessive fee structure has prompted me to look for another bank into which my pension can be deposited. After failing to find a bank that would allow me to open and activate an account remotely, I stumbled onto Keytrade. I was pleasantly surprised that they allowed me to fill out their comprehensive application form, followed by an acknowledgement and request for identification documentation, which I have provided. I am hopeful that my application will be approved. I found the website user-friendly, so we'll see what happens from here.
3rd rowinfo concise
4th rowNo issues with online banking without having or using bankcards
5th rowLogin simplification
ValueCountFrequency (%)
de 2072
 
3.3%
en 936
 
1.5%
een 744
 
1.2%
je 738
 
1.2%
706
 
1.1%
et 636
 
1.0%
ik 617
 
1.0%
is 504
 
0.8%
le 491
 
0.8%
à 453
 
0.7%
Other values (9090) 54999
87.4%
2025-03-23T11:56:55.694289image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61318
16.3%
e 48191
12.8%
n 26084
 
6.9%
a 22656
 
6.0%
t 21160
 
5.6%
i 19752
 
5.3%
r 18332
 
4.9%
o 17047
 
4.5%
s 16758
 
4.5%
l 12050
 
3.2%
Other values (126) 112192
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 375540
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
61318
16.3%
e 48191
12.8%
n 26084
 
6.9%
a 22656
 
6.0%
t 21160
 
5.6%
i 19752
 
5.3%
r 18332
 
4.9%
o 17047
 
4.5%
s 16758
 
4.5%
l 12050
 
3.2%
Other values (126) 112192
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 375540
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
61318
16.3%
e 48191
12.8%
n 26084
 
6.9%
a 22656
 
6.0%
t 21160
 
5.6%
i 19752
 
5.3%
r 18332
 
4.9%
o 17047
 
4.5%
s 16758
 
4.5%
l 12050
 
3.2%
Other values (126) 112192
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 375540
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
61318
16.3%
e 48191
12.8%
n 26084
 
6.9%
a 22656
 
6.0%
t 21160
 
5.6%
i 19752
 
5.3%
r 18332
 
4.9%
o 17047
 
4.5%
s 16758
 
4.5%
l 12050
 
3.2%
Other values (126) 112192
29.9%
Distinct1030
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
Minimum2017-12-03 07:07:45+00:00
Maximum2025-02-25 12:32:24+00:00
Invalid dates0
Invalid dates (%)0.0%
2025-03-23T11:56:55.877387image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-23T11:56:56.057646image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

consumer_countryCode
Categorical

High correlation  Imbalance 

Distinct30
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size52.4 KiB
BE
945 
FR
 
26
NL
 
12
ES
 
9
GB
 
7
Other values (25)
 
50

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2 098
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.2%

Sample

1st rowBE
2nd rowAU
3rd rowBE
4th rowBE
5th rowBE

Common Values

ValueCountFrequency (%)
BE 945
90.1%
FR 26
 
2.5%
NL 12
 
1.1%
ES 9
 
0.9%
GB 7
 
0.7%
DE 7
 
0.7%
US 5
 
0.5%
CH 4
 
0.4%
LU 4
 
0.4%
AU 3
 
0.3%
Other values (20) 27
 
2.6%

Length

2025-03-23T11:56:56.212139image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
be 945
90.1%
fr 26
 
2.5%
nl 12
 
1.1%
es 9
 
0.9%
gb 7
 
0.7%
de 7
 
0.7%
us 5
 
0.5%
ch 4
 
0.4%
lu 4
 
0.4%
au 3
 
0.3%
Other values (20) 27
 
2.6%

Most occurring characters

ValueCountFrequency (%)
E 964
45.9%
B 954
45.5%
R 30
 
1.4%
F 26
 
1.2%
L 18
 
0.9%
S 14
 
0.7%
N 13
 
0.6%
U 12
 
0.6%
D 11
 
0.5%
G 9
 
0.4%
Other values (11) 47
 
2.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2098
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
E 964
45.9%
B 954
45.5%
R 30
 
1.4%
F 26
 
1.2%
L 18
 
0.9%
S 14
 
0.7%
N 13
 
0.6%
U 12
 
0.6%
D 11
 
0.5%
G 9
 
0.4%
Other values (11) 47
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2098
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
E 964
45.9%
B 954
45.5%
R 30
 
1.4%
F 26
 
1.2%
L 18
 
0.9%
S 14
 
0.7%
N 13
 
0.6%
U 12
 
0.6%
D 11
 
0.5%
G 9
 
0.4%
Other values (11) 47
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2098
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
E 964
45.9%
B 954
45.5%
R 30
 
1.4%
F 26
 
1.2%
L 18
 
0.9%
S 14
 
0.7%
N 13
 
0.6%
U 12
 
0.6%
D 11
 
0.5%
G 9
 
0.4%
Other values (11) 47
 
2.2%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size60.6 KiB
invitation
1049 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10 490
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowinvitation
2nd rowinvitation
3rd rowinvitation
4th rowinvitation
5th rowinvitation

Common Values

ValueCountFrequency (%)
invitation 1049
100.0%

Length

2025-03-23T11:56:56.346326image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-23T11:56:56.457086image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
invitation 1049
100.0%

Most occurring characters

ValueCountFrequency (%)
i 3147
30.0%
n 2098
20.0%
t 2098
20.0%
v 1049
 
10.0%
a 1049
 
10.0%
o 1049
 
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10490
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 3147
30.0%
n 2098
20.0%
t 2098
20.0%
v 1049
 
10.0%
a 1049
 
10.0%
o 1049
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10490
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 3147
30.0%
n 2098
20.0%
t 2098
20.0%
v 1049
 
10.0%
a 1049
 
10.0%
o 1049
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10490
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 3147
30.0%
n 2098
20.0%
t 2098
20.0%
v 1049
 
10.0%
a 1049
 
10.0%
o 1049
 
10.0%

labels_verification_reviewSourceName
Categorical

High correlation 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size62.5 KiB
Organic
674 
BusinessGeneratedLink
365 
BasicLink
 
10

Length

Max length21
Median length7
Mean length11.890372
Min length7

Characters and Unicode

Total characters12 473
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOrganic
2nd rowOrganic
3rd rowBusinessGeneratedLink
4th rowBusinessGeneratedLink
5th rowBusinessGeneratedLink

Common Values

ValueCountFrequency (%)
Organic 674
64.3%
BusinessGeneratedLink 365
34.8%
BasicLink 10
 
1.0%

Length

2025-03-23T11:56:56.585081image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-23T11:56:56.715323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
organic 674
64.3%
businessgeneratedlink 365
34.8%
basiclink 10
 
1.0%

Most occurring characters

ValueCountFrequency (%)
n 1779
14.3%
e 1460
11.7%
i 1424
11.4%
s 1105
8.9%
a 1049
8.4%
r 1039
8.3%
c 684
 
5.5%
O 674
 
5.4%
g 674
 
5.4%
B 375
 
3.0%
Other values (6) 2210
17.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 12473
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 1779
14.3%
e 1460
11.7%
i 1424
11.4%
s 1105
8.9%
a 1049
8.4%
r 1039
8.3%
c 684
 
5.5%
O 674
 
5.4%
g 674
 
5.4%
B 375
 
3.0%
Other values (6) 2210
17.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 12473
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 1779
14.3%
e 1460
11.7%
i 1424
11.4%
s 1105
8.9%
a 1049
8.4%
r 1039
8.3%
c 684
 
5.5%
O 674
 
5.4%
g 674
 
5.4%
B 375
 
3.0%
Other values (6) 2210
17.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 12473
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 1779
14.3%
e 1460
11.7%
i 1424
11.4%
s 1105
8.9%
a 1049
8.4%
r 1039
8.3%
c 684
 
5.5%
O 674
 
5.4%
g 674
 
5.4%
B 375
 
3.0%
Other values (6) 2210
17.7%

consumersReviewCountOnSameLocation
Unsupported

Missing  Rejected  Unsupported 

Missing1049
Missing (%)100.0%
Memory size8.3 KiB

consumersReviewCountOnSameDomain
Categorical

Imbalance 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size51.3 KiB
1
1008 
2
 
36
3
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1 049
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1008
96.1%
2 36
 
3.4%
3 5
 
0.5%

Length

2025-03-23T11:56:56.853493image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-23T11:56:56.971031image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1008
96.1%
2 36
 
3.4%
3 5
 
0.5%

Most occurring characters

ValueCountFrequency (%)
1 1008
96.1%
2 36
 
3.4%
3 5
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1049
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 1008
96.1%
2 36
 
3.4%
3 5
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1049
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 1008
96.1%
2 36
 
3.4%
3 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1049
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 1008
96.1%
2 36
 
3.4%
3 5
 
0.5%

report_reasons_0
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing1048
Missing (%)99.9%
Memory size32.9 KiB
2025-03-23T11:56:57.102833image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters15
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowmarketingOrSpam
ValueCountFrequency (%)
marketingorspam 1
100.0%
2025-03-23T11:56:57.382282image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 2
13.3%
a 2
13.3%
r 2
13.3%
k 1
6.7%
e 1
6.7%
t 1
6.7%
i 1
6.7%
n 1
6.7%
g 1
6.7%
O 1
6.7%
Other values (2) 2
13.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
m 2
13.3%
a 2
13.3%
r 2
13.3%
k 1
6.7%
e 1
6.7%
t 1
6.7%
i 1
6.7%
n 1
6.7%
g 1
6.7%
O 1
6.7%
Other values (2) 2
13.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
m 2
13.3%
a 2
13.3%
r 2
13.3%
k 1
6.7%
e 1
6.7%
t 1
6.7%
i 1
6.7%
n 1
6.7%
g 1
6.7%
O 1
6.7%
Other values (2) 2
13.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
m 2
13.3%
a 2
13.3%
r 2
13.3%
k 1
6.7%
e 1
6.7%
t 1
6.7%
i 1
6.7%
n 1
6.7%
g 1
6.7%
O 1
6.7%
Other values (2) 2
13.3%

filtered
Boolean

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
False
1049 
ValueCountFrequency (%)
False 1049
100.0%
2025-03-23T11:56:57.505811image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

consumer_isVerified
Boolean

Imbalance 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
False
1008 
True
 
41
ValueCountFrequency (%)
False 1008
96.1%
True 41
 
3.9%
2025-03-23T11:56:57.609745image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

report
Unsupported

Missing  Rejected  Unsupported 

Missing1049
Missing (%)100.0%
Memory size8.3 KiB

report_reviewVisibility
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing1048
Missing (%)99.9%
Memory size32.9 KiB
2025-03-23T11:56:57.714370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowvisible
ValueCountFrequency (%)
visible 1
100.0%
2025-03-23T11:56:57.981903image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2
28.6%
v 1
14.3%
s 1
14.3%
b 1
14.3%
l 1
14.3%
e 1
14.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 2
28.6%
v 1
14.3%
s 1
14.3%
b 1
14.3%
l 1
14.3%
e 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 2
28.6%
v 1
14.3%
s 1
14.3%
b 1
14.3%
l 1
14.3%
e 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 2
28.6%
v 1
14.3%
s 1
14.3%
b 1
14.3%
l 1
14.3%
e 1
14.3%

labels_verification_verificationLevel
Categorical

High correlation  Missing 

Distinct2
Distinct (%)0.2%
Missing56
Missing (%)5.3%
Memory size60.5 KiB
not-verified
618 
invited
375 

Length

Max length12
Median length12
Mean length10.111782
Min length7

Characters and Unicode

Total characters10 041
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownot-verified
2nd rownot-verified
3rd rowinvited
4th rowinvited
5th rowinvited

Common Values

ValueCountFrequency (%)
not-verified 618
58.9%
invited 375
35.7%
(Missing) 56
 
5.3%

Length

2025-03-23T11:56:58.132558image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-23T11:56:58.251733image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
not-verified 618
62.2%
invited 375
37.8%

Most occurring characters

ValueCountFrequency (%)
i 1986
19.8%
e 1611
16.0%
n 993
9.9%
t 993
9.9%
v 993
9.9%
d 993
9.9%
o 618
 
6.2%
- 618
 
6.2%
r 618
 
6.2%
f 618
 
6.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10041
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 1986
19.8%
e 1611
16.0%
n 993
9.9%
t 993
9.9%
v 993
9.9%
d 993
9.9%
o 618
 
6.2%
- 618
 
6.2%
r 618
 
6.2%
f 618
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10041
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 1986
19.8%
e 1611
16.0%
n 993
9.9%
t 993
9.9%
v 993
9.9%
d 993
9.9%
o 618
 
6.2%
- 618
 
6.2%
r 618
 
6.2%
f 618
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10041
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 1986
19.8%
e 1611
16.0%
n 993
9.9%
t 993
9.9%
v 993
9.9%
d 993
9.9%
o 618
 
6.2%
- 618
 
6.2%
r 618
 
6.2%
f 618
 
6.2%

report_source
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing1048
Missing (%)99.9%
Memory size32.9 KiB
2025-03-23T11:56:58.368672image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters12
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowBusinessUser
ValueCountFrequency (%)
businessuser 1
100.0%
2025-03-23T11:56:58.630207image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 4
33.3%
e 2
16.7%
B 1
 
8.3%
u 1
 
8.3%
i 1
 
8.3%
n 1
 
8.3%
U 1
 
8.3%
r 1
 
8.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 12
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
s 4
33.3%
e 2
16.7%
B 1
 
8.3%
u 1
 
8.3%
i 1
 
8.3%
n 1
 
8.3%
U 1
 
8.3%
r 1
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 12
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
s 4
33.3%
e 2
16.7%
B 1
 
8.3%
u 1
 
8.3%
i 1
 
8.3%
n 1
 
8.3%
U 1
 
8.3%
r 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 12
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
s 4
33.3%
e 2
16.7%
B 1
 
8.3%
u 1
 
8.3%
i 1
 
8.3%
n 1
 
8.3%
U 1
 
8.3%
r 1
 
8.3%
Distinct960
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size62.5 KiB
2025-03-23T11:56:58.942892image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length10.039085
Min length1

Characters and Unicode

Total characters10 531
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique894 ?
Unique (%)85.2%

Sample

1st rowtrustpiloter
2nd rowMark Lerno
3rd rowClient MCM
4th rowJ De Greef
5th rowMonir Moutawakkil
ValueCountFrequency (%)
de 38
 
2.2%
van 29
 
1.7%
m 13
 
0.8%
jean 13
 
0.8%
vincent 11
 
0.6%
patrick 11
 
0.6%
b 11
 
0.6%
dirk 11
 
0.6%
marc 11
 
0.6%
pierre 10
 
0.6%
Other values (1137) 1564
90.8%
2025-03-23T11:56:59.447794image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1151
 
10.9%
a 796
 
7.6%
n 750
 
7.1%
705
 
6.7%
r 666
 
6.3%
i 642
 
6.1%
o 445
 
4.2%
l 399
 
3.8%
t 389
 
3.7%
s 349
 
3.3%
Other values (69) 4239
40.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10531
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 1151
 
10.9%
a 796
 
7.6%
n 750
 
7.1%
705
 
6.7%
r 666
 
6.3%
i 642
 
6.1%
o 445
 
4.2%
l 399
 
3.8%
t 389
 
3.7%
s 349
 
3.3%
Other values (69) 4239
40.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10531
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 1151
 
10.9%
a 796
 
7.6%
n 750
 
7.1%
705
 
6.7%
r 666
 
6.3%
i 642
 
6.1%
o 445
 
4.2%
l 399
 
3.8%
t 389
 
3.7%
s 349
 
3.3%
Other values (69) 4239
40.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10531
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 1151
 
10.9%
a 796
 
7.6%
n 750
 
7.1%
705
 
6.7%
r 666
 
6.3%
i 642
 
6.1%
o 445
 
4.2%
l 399
 
3.8%
t 389
 
3.7%
s 349
 
3.3%
Other values (69) 4239
40.3%
Distinct1030
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size74.9 KiB
2025-03-23T11:56:59.687685image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters25 176
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 011 ?
Unique (%)96.4%

Sample

1st row67b874bf30e5fe505796b407
2nd row51a4219200006400013d6708
3rd row5cdc87b0d7bca46191762a69
4th row57f17bdd0000ff000a49c6dc
5th row661bdc6bfc6ed600122d4210
ValueCountFrequency (%)
6690076acef96e775f533a5f 2
 
0.2%
55bb98180000ff0001d0b2c2 2
 
0.2%
5a302bc70000ff000af01b30 2
 
0.2%
51a4219200006400013d6708 2
 
0.2%
5cdc87b0d7bca46191762a69 2
 
0.2%
661bdc6bfc6ed600122d4210 2
 
0.2%
6757321d16939d1ef69b45af 2
 
0.2%
5fef8e86fdafce0019a882f2 2
 
0.2%
609fde8a85dde60019209d44 2
 
0.2%
66f2c8d1094dde250b01c7b6 2
 
0.2%
Other values (1020) 1029
98.1%
2025-03-23T11:57:00.084786image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3540
14.1%
6 2104
 
8.4%
1 1894
 
7.5%
5 1843
 
7.3%
2 1561
 
6.2%
f 1476
 
5.9%
4 1401
 
5.6%
e 1329
 
5.3%
3 1322
 
5.3%
7 1307
 
5.2%
Other values (6) 7399
29.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 25176
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 3540
14.1%
6 2104
 
8.4%
1 1894
 
7.5%
5 1843
 
7.3%
2 1561
 
6.2%
f 1476
 
5.9%
4 1401
 
5.6%
e 1329
 
5.3%
3 1322
 
5.3%
7 1307
 
5.2%
Other values (6) 7399
29.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 25176
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 3540
14.1%
6 2104
 
8.4%
1 1894
 
7.5%
5 1843
 
7.3%
2 1561
 
6.2%
f 1476
 
5.9%
4 1401
 
5.6%
e 1329
 
5.3%
3 1322
 
5.3%
7 1307
 
5.2%
Other values (6) 7399
29.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 25176
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 3540
14.1%
6 2104
 
8.4%
1 1894
 
7.5%
5 1843
 
7.3%
2 1561
 
6.2%
f 1476
 
5.9%
4 1401
 
5.6%
e 1329
 
5.3%
3 1322
 
5.3%
7 1307
 
5.2%
Other values (6) 7399
29.4%

reply_message
Text

Missing 

Distinct367
Distinct (%)97.3%
Missing672
Missing (%)64.1%
Memory size181.6 KiB
2025-03-23T11:57:00.412526image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length598
Median length297
Mean length239.64987
Min length120

Characters and Unicode

Total characters90 348
Distinct characters84
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique357 ?
Unique (%)94.7%

Sample

1st rowHello trustpiloter, Thanks for your additional explanation. Based on the information you provided (e-mail address), I cannot find your contact history. It would help if you could also provide your full name and client number. Kind regards, Veronique, Keytrade Bank team
2nd rowDear Mr Laevers, We're sorry for falling short of your expectations. We're working diligently to enhance our services and decrease the waiting times based on feedback like yours. Best regards, Veronique, Keytrade Bank team
3rd rowDear Zlolkill, We regret to hear of your experience. One of my colleagues has contacted you last week to move forward with your account opening. Kind regards, Veronique, Keytrade Bank team
4th rowDear Mr Zekhnini, We regret to hear of your experience. We appreciate your feedback and assure you that we did review the interaction with this agent. We are taking steps to rectify the situation. Kind regards, Veronique, Keytrade Bank team
5th rowHello Vincent, Your positive review means a lot to us. Thank you for taking the time to share your experience. We're committed to providing excellent service and your feedback encourages us to do better. Best regards, Véronique on behalf of the Keytrade Bank team
ValueCountFrequency (%)
nous 454
 
3.3%
de 454
 
3.3%
bank 378
 
2.8%
keytrade 377
 
2.8%
het 274
 
2.0%
van 265
 
1.9%
votre 260
 
1.9%
vous 252
 
1.8%
we 246
 
1.8%
à 224
 
1.6%
Other values (1340) 10511
76.8%
2025-03-23T11:57:00.948167image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 12761
14.1%
12210
13.5%
n 5945
 
6.6%
r 5509
 
6.1%
o 5204
 
5.8%
t 4974
 
5.5%
a 4486
 
5.0%
i 4212
 
4.7%
s 4037
 
4.5%
u 3047
 
3.4%
Other values (74) 27963
31.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 90348
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 12761
14.1%
12210
13.5%
n 5945
 
6.6%
r 5509
 
6.1%
o 5204
 
5.8%
t 4974
 
5.5%
a 4486
 
5.0%
i 4212
 
4.7%
s 4037
 
4.5%
u 3047
 
3.4%
Other values (74) 27963
31.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 90348
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 12761
14.1%
12210
13.5%
n 5945
 
6.6%
r 5509
 
6.1%
o 5204
 
5.8%
t 4974
 
5.5%
a 4486
 
5.0%
i 4212
 
4.7%
s 4037
 
4.5%
u 3047
 
3.4%
Other values (74) 27963
31.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 90348
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 12761
14.1%
12210
13.5%
n 5945
 
6.6%
r 5509
 
6.1%
o 5204
 
5.8%
t 4974
 
5.5%
a 4486
 
5.0%
i 4212
 
4.7%
s 4037
 
4.5%
u 3047
 
3.4%
Other values (74) 27963
31.0%

pending
Boolean

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
False
1049 
ValueCountFrequency (%)
False 1049
100.0%
2025-03-23T11:57:01.101343image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

id
Text

Distinct1030
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size74.9 KiB
2025-03-23T11:57:01.311657image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters25 176
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 011 ?
Unique (%)96.4%

Sample

1st row67bd9c38c888664a2658e4dd
2nd row679ed4b70481be784950b42b
3rd row678519f8d0cf31058ac718c8
4th row677ef570e20a3e73eba6d947
5th row67766dbe457fa21ecfca9b97
ValueCountFrequency (%)
66900774d11a1ff95751eb53 2
 
0.2%
673f695bdadc4e4e7d955506 2
 
0.2%
6701a601f15bf7d9e0bda2a7 2
 
0.2%
679ed4b70481be784950b42b 2
 
0.2%
678519f8d0cf31058ac718c8 2
 
0.2%
67766dbe457fa21ecfca9b97 2
 
0.2%
6757321e8ee4e66fe6da96d6 2
 
0.2%
67570ee012da59e44cd3fbaf 2
 
0.2%
6750a0c94d395d4d6d8245f5 2
 
0.2%
67444617d47d1b7e08620754 2
 
0.2%
Other values (1020) 1029
98.1%
2025-03-23T11:57:01.705312image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 2579
 
10.2%
5 1857
 
7.4%
7 1739
 
6.9%
0 1612
 
6.4%
4 1600
 
6.4%
1 1559
 
6.2%
f 1494
 
5.9%
e 1460
 
5.8%
8 1455
 
5.8%
9 1429
 
5.7%
Other values (6) 8392
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 25176
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
6 2579
 
10.2%
5 1857
 
7.4%
7 1739
 
6.9%
0 1612
 
6.4%
4 1600
 
6.4%
1 1559
 
6.2%
f 1494
 
5.9%
e 1460
 
5.8%
8 1455
 
5.8%
9 1429
 
5.7%
Other values (6) 8392
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 25176
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
6 2579
 
10.2%
5 1857
 
7.4%
7 1739
 
6.9%
0 1612
 
6.4%
4 1600
 
6.4%
1 1559
 
6.2%
f 1494
 
5.9%
e 1460
 
5.8%
8 1455
 
5.8%
9 1429
 
5.7%
Other values (6) 8392
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 25176
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
6 2579
 
10.2%
5 1857
 
7.4%
7 1739
 
6.9%
0 1612
 
6.4%
4 1600
 
6.4%
1 1559
 
6.2%
f 1494
 
5.9%
e 1460
 
5.8%
8 1455
 
5.8%
9 1429
 
5.7%
Other values (6) 8392
33.3%

title
Text

Distinct1020
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size111.5 KiB
2025-03-23T11:57:02.035372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length200
Median length73
Mean length30.130601
Min length4

Characters and Unicode

Total characters31 607
Distinct characters111
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique992 ?
Unique (%)94.6%

Sample

1st rowreply to Veronique
2nd rowGreat start with easy application and good communication
3rd rowinfo concise
4th rowNo complaints
5th rowLogin simplification
ValueCountFrequency (%)
de 118
 
2.3%
banque 86
 
1.7%
service 86
 
1.7%
bank 79
 
1.6%
keytrade 72
 
1.4%
en 70
 
1.4%
70
 
1.4%
et 61
 
1.2%
je 53
 
1.1%
een 51
 
1.0%
Other values (1747) 4280
85.2%
2025-03-23T11:57:02.776185image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 4310
13.6%
4035
12.8%
n 2309
 
7.3%
a 1895
 
6.0%
i 1836
 
5.8%
t 1810
 
5.7%
r 1573
 
5.0%
s 1425
 
4.5%
o 1389
 
4.4%
l 1140
 
3.6%
Other values (101) 9885
31.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 31607
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 4310
13.6%
4035
12.8%
n 2309
 
7.3%
a 1895
 
6.0%
i 1836
 
5.8%
t 1810
 
5.7%
r 1573
 
5.0%
s 1425
 
4.5%
o 1389
 
4.4%
l 1140
 
3.6%
Other values (101) 9885
31.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 31607
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 4310
13.6%
4035
12.8%
n 2309
 
7.3%
a 1895
 
6.0%
i 1836
 
5.8%
t 1810
 
5.7%
r 1573
 
5.0%
s 1425
 
4.5%
o 1389
 
4.4%
l 1140
 
3.6%
Other values (101) 9885
31.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 31607
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 4310
13.6%
4035
12.8%
n 2309
 
7.3%
a 1895
 
6.0%
i 1836
 
5.8%
t 1810
 
5.7%
r 1573
 
5.0%
s 1425
 
4.5%
o 1389
 
4.4%
l 1140
 
3.6%
Other values (101) 9885
31.3%

reply
Unsupported

Missing  Rejected  Unsupported 

Missing1049
Missing (%)100.0%
Memory size8.3 KiB

likes
Real number (ℝ)

Zeros 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58245949
Minimum0
Maximum5
Zeros657
Zeros (%)62.6%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2025-03-23T11:57:02.916151image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.919009
Coefficient of variation (CV)1.5778076
Kurtosis3.4311632
Mean0.58245949
Median Absolute Deviation (MAD)0
Skewness1.8291843
Sum611
Variance0.84457753
MonotonicityNot monotonic
2025-03-23T11:57:03.042343image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 657
62.6%
1 245
 
23.4%
2 96
 
9.2%
3 33
 
3.1%
4 15
 
1.4%
5 3
 
0.3%
ValueCountFrequency (%)
0 657
62.6%
1 245
 
23.4%
2 96
 
9.2%
3 33
 
3.1%
4 15
 
1.4%
5 3
 
0.3%
ValueCountFrequency (%)
5 3
 
0.3%
4 15
 
1.4%
3 33
 
3.1%
2 96
 
9.2%
1 245
 
23.4%
0 657
62.6%

labels_merged
Unsupported

Missing  Rejected  Unsupported 

Missing1049
Missing (%)100.0%
Memory size8.3 KiB

reply_publishedDate
Date

Missing 

Distinct367
Distinct (%)97.3%
Missing672
Missing (%)64.1%
Memory size8.3 KiB
Minimum2023-09-07 09:58:00+00:00
Maximum2025-03-06 14:54:14+00:00
Invalid dates0
Invalid dates (%)0.0%
2025-03-23T11:57:03.199662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-23T11:57:03.370040image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

location
Unsupported

Missing  Rejected  Unsupported 

Missing1049
Missing (%)100.0%
Memory size8.3 KiB

report_createdDateTime
Date

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing1048
Missing (%)99.9%
Memory size8.3 KiB
Minimum2023-10-25 08:33:05+00:00
Maximum2023-10-25 08:33:05+00:00
Invalid dates0
Invalid dates (%)0.0%
2025-03-23T11:57:03.498924image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-23T11:57:03.610493image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

reply_updatedDate
Date

Missing 

Distinct11
Distinct (%)100.0%
Missing1038
Missing (%)99.0%
Memory size8.3 KiB
Minimum2023-09-08 12:32:21+00:00
Maximum2025-02-05 16:10:57+00:00
Invalid dates0
Invalid dates (%)0.0%
2025-03-23T11:57:03.730018image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-23T11:57:03.865501image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

dates_updatedDate
Date

Missing 

Distinct83
Distinct (%)97.6%
Missing964
Missing (%)91.9%
Memory size8.3 KiB
Minimum2018-08-28 13:38:41+00:00
Maximum2025-03-20 21:59:03+00:00
Invalid dates0
Invalid dates (%)0.0%
2025-03-23T11:57:04.021187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-23T11:57:04.204859image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

language
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size52.4 KiB
fr
488 
nl
447 
en
111 
af
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2 098
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowen
2nd rowen
3rd rowen
4th rowen
5th rowen

Common Values

ValueCountFrequency (%)
fr 488
46.5%
nl 447
42.6%
en 111
 
10.6%
af 3
 
0.3%

Length

2025-03-23T11:57:04.370004image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-23T11:57:04.495631image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
fr 488
46.5%
nl 447
42.6%
en 111
 
10.6%
af 3
 
0.3%

Most occurring characters

ValueCountFrequency (%)
n 558
26.6%
f 491
23.4%
r 488
23.3%
l 447
21.3%
e 111
 
5.3%
a 3
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2098
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 558
26.6%
f 491
23.4%
r 488
23.3%
l 447
21.3%
e 111
 
5.3%
a 3
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2098
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 558
26.6%
f 491
23.4%
r 488
23.3%
l 447
21.3%
e 111
 
5.3%
a 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2098
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 558
26.6%
f 491
23.4%
r 488
23.3%
l 447
21.3%
e 111
 
5.3%
a 3
 
0.1%

hasUnhandledReports
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
False
1048 
True
 
1
ValueCountFrequency (%)
False 1048
99.9%
True 1
 
0.1%
2025-03-23T11:57:04.612316image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
False
870 
True
179 
ValueCountFrequency (%)
False 870
82.9%
True 179
 
17.1%
2025-03-23T11:57:04.714374image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Interactions

2025-03-23T11:56:50.914976image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-23T11:56:50.628750image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-23T11:56:51.046694image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-23T11:56:50.786743image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2025-03-23T11:57:04.807810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
consumer_countryCodeconsumer_hasImageconsumer_isVerifiedconsumer_numberOfReviewsconsumersReviewCountOnSameDomainhasUnhandledReportslabels_verification_isVerifiedlabels_verification_reviewSourceNamelabels_verification_verificationLevellanguagelikesrating
consumer_countryCode1.0000.1540.1430.0760.2970.9870.0000.0000.0000.2040.1910.000
consumer_hasImage0.1541.0000.1200.0000.0850.0000.2360.2370.2480.1140.0110.170
consumer_isVerified0.1430.1201.0000.1750.1170.0000.1280.1330.1430.0000.0140.052
consumer_numberOfReviews0.0760.0000.1751.0000.1090.0000.0760.0000.0750.0000.0530.000
consumersReviewCountOnSameDomain0.2970.0850.1170.1091.0000.0000.1300.0890.1420.0000.0000.050
hasUnhandledReports0.9870.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.000
labels_verification_isVerified0.0000.2360.1280.0760.1300.0001.0001.0000.9770.1830.4330.688
labels_verification_reviewSourceName0.0000.2370.1330.0000.0890.0001.0001.0000.9990.1280.3120.496
labels_verification_verificationLevel0.0000.2480.1430.0750.1420.0000.9770.9991.0000.1830.4380.707
language0.2040.1140.0000.0000.0000.0000.1830.1280.1831.0000.0980.111
likes0.1910.0110.0140.0530.0000.0000.4330.3120.4380.0981.0000.246
rating0.0000.1700.0520.0000.0500.0000.6880.4960.7070.1110.2461.000

Missing values

2025-03-23T11:56:51.291203image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2025-03-23T11:56:51.934257image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-03-23T11:56:52.320249image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

consumer_numberOfReviewsdates_publishedDatelabels_verification_isVerifiedconsumer_imageUrlratingdates_experiencedDatelabels_verification_hasDachExclusionreport_reasontextlabels_verification_createdDateTimeconsumer_countryCodelabels_verification_verificationSourcelabels_verification_reviewSourceNameconsumersReviewCountOnSameLocationconsumersReviewCountOnSameDomainreport_reasons_0filteredconsumer_isVerifiedreportreport_reviewVisibilitylabels_verification_verificationLevelreport_sourceconsumer_displayNameconsumer_idreply_messagependingidtitlereplylikeslabels_mergedreply_publishedDatelocationreport_createdDateTimereply_updatedDatedates_updatedDatelanguagehasUnhandledReportsconsumer_hasImage
022025-02-25T12:32:24.000ZFalseNaN12024-12-20T00:00:00.000ZFalseNaNI got a reply from Veronique Keytrade and I can't reply to that message but basically Keytrade offered 50 euros with the promocode "50inmypocket" last year which I did, but every time I tried completing my sign up, the app and website did not work. The QR code also didn't work.\n\nI emailed Keytrade and it was some automated message with help to log in. \n\nI got fed up and emailed them again but didn't get anymore replies. I can't even close the account. I would show screenshots if I could.2025-02-25T12:32:24.000ZBEinvitationOrganicNaN2NaNFalseFalseNaNNaNnot-verifiedNaNtrustpiloter67b874bf30e5fe505796b407Hello trustpiloter,\n\nThanks for your additional explanation. \nBased on the information you provided (e-mail address), I cannot find your contact history. It would help if you could also provide your full name and client number.\n\nKind regards,\nVeronique, Keytrade Bank teamFalse67bd9c38c888664a2658e4ddreply to VeroniqueNaN0NaN2025-03-06T14:54:14.000ZNaNNaNNaNNaNenFalseFalse
182025-02-02T04:13:11.000ZFalseNaN52025-02-01T00:00:00.000ZFalseNaNI am an ex-Belgian, now residing in Australia, who receives a modest pension from the Federal Pensions Service. ING's excessive fee structure has prompted me to look for another bank into which my pension can be deposited. After failing to find a bank that would allow me to open and activate an account remotely, I stumbled onto Keytrade. I was pleasantly surprised that they allowed me to fill out their comprehensive application form, followed by an acknowledgement and request for identification documentation, which I have provided. I am hopeful that my application will be approved. I found the website user-friendly, so we'll see what happens from here.2025-02-02T04:13:11.000ZAUinvitationOrganicNaN1NaNFalseTrueNaNNaNnot-verifiedNaNMark Lerno51a4219200006400013d6708NaNFalse679ed4b70481be784950b42bGreat start with easy application and good communicationNaN0NaNNaNNaNNaNNaNNaNenFalseFalse
222025-01-13T15:49:44.000ZTrueNaN42025-01-13T00:00:00.000ZFalseNaNinfo concise2025-01-13T15:49:44.000ZBEinvitationBusinessGeneratedLinkNaN1NaNFalseFalseNaNNaNinvitedNaNClient MCM5cdc87b0d7bca46191762a69NaNFalse678519f8d0cf31058ac718c8info conciseNaN0NaNNaNNaNNaNNaNNaNenFalseFalse
322025-01-09T00:00:16.000ZTrueNaN52025-01-08T00:00:00.000ZFalseNaNNo issues with online banking without having or using bankcards2025-01-09T00:00:16.000ZBEinvitationBusinessGeneratedLinkNaN1NaNFalseFalseNaNNaNinvitedNaNJ De Greef57f17bdd0000ff000a49c6dcNaNFalse677ef570e20a3e73eba6d947No complaintsNaN1NaNNaNNaNNaNNaNNaNenFalseFalse
422025-01-02T12:43:10.000ZTrueNaN52025-01-02T00:00:00.000ZFalseNaNLogin simplification2025-01-02T12:43:10.000ZBEinvitationBusinessGeneratedLinkNaN1NaNFalseFalseNaNNaNinvitedNaNMonir Moutawakkil661bdc6bfc6ed600122d4210NaNFalse67766dbe457fa21ecfca9b97Login simplificationNaN0NaNNaNNaNNaNNaNNaNenFalseFalse
512024-12-09T20:08:30.000ZTrueNaN52024-10-16T00:00:00.000ZFalseNaNVery reactive support2024-12-09T20:08:30.000ZBEinvitationBusinessGeneratedLinkNaN1NaNFalseFalseNaNNaNinvitedNaNVincent6757321d16939d1ef69b45afNaNFalse6757321e8ee4e66fe6da96d6Very reactive supportNaN0NaNNaNNaNNaNNaNNaNenFalseFalse
6152024-12-09T17:38:08.000ZFalseNaN12024-12-09T00:00:00.000ZFalseNaNTerrible support. People sound like students on the phone, they don't listen to what you say, speak barely Dutch. Long waiting times before you get to speak to someone... very very very lousy service. This is not an occasional thing... it's really ALWAYS like that. And they always respond on trustpilot "We're working diligently to enhance our services and decrease the waiting times based on feedback like yours"... but it never gets resolved: look at all the terrible reviews! It's been going on for ages!2024-12-09T17:38:08.000ZBEinvitationOrganicNaN1NaNFalseFalseNaNNaNnot-verifiedNaNM. Beaujean5fef8e86fdafce0019a882f2Dear Mr Laevers,\n\nWe're sorry for falling short of your expectations. We're working diligently to enhance our services and decrease the waiting times based on feedback like yours.\n\nBest regards,\nVeronique, Keytrade Bank teamFalse67570ee012da59e44cd3fbafTerrible support and extremely long waiting timesNaN1NaN2024-12-11T15:07:27.000ZNaNNaNNaN2024-12-11T16:54:34.000ZenFalseFalse
762024-12-04T20:34:49.000ZFalseNaN12024-12-04T00:00:00.000ZFalseNaNI tried creating an account, but had no response for a full month, until I suddenly got an email asking me personal irrelevant information. \n\nI reply with the information and once again no response for 30 days.\n\nI also haven't received any letter with the code for activating my account. I wasted 2 months trying to setup an account while I could just setup an account with a different bank within a day.\n\nI do NOT recommend Keytrade bank, avoid at all cost.2024-12-04T20:34:49.000ZBEinvitationOrganicNaN1NaNFalseFalseNaNNaNnot-verifiedNaNZlolkill609fde8a85dde60019209d44Dear Zlolkill,\n\nWe regret to hear of your experience. One of my colleagues has contacted you last week to move forward with your account opening. \n\nKind regards,\nVeronique, Keytrade Bank teamFalse6750a0c94d395d4d6d8245f5Can't setup an account, TERRIBLE supportNaN0NaN2024-12-16T16:36:17.000ZNaNNaNNaNNaNenFalseFalse
842024-11-25T11:40:39.000ZFalsehttps://user-images.trustpilot.com/66f2c8d1094dde250b01c7b6/73x73.png12024-11-25T00:00:00.000ZFalseNaNI recently contacted the Keytrade call center to inquire about opening a bank account, and my experience was nothing short of appalling. I spoke with an agent named Siam on Monday, November 25th, 2024, at around 10:30 am, and was shocked by her rude and unprofessional behavior.\n\nFrom the start, Siam was dismissive and seemed unwilling to assist me. Her tone was abrupt, and her attitude made me feel like I was an inconvenience rather than a valued potential customer. To make matters worse, she hung up on me in the middle of our conversation. This level of disrespect is unacceptable and has left me questioning how someone with such poor customer service skills was hired for a customer-facing role.\n\nI strongly urge the management to review the recording of this call and address this issue immediately. Such behavior tarnishes Keytrade’s reputation and could deter potential customers from ever considering your services. This experience has made me seriously reconsider whether I want to bank with Keytrade at all.2024-11-25T11:40:39.000ZGBinvitationOrganicNaN1NaNFalseTrueNaNNaNnot-verifiedNaNIsmail Zekhnini66f2c8d1094dde250b01c7b6Dear Mr Zekhnini,\n\nWe regret to hear of your experience. We appreciate your feedback and assure you that we did review the interaction with this agent. We are taking steps to rectify the situation.\n\nKind regards,\nVeronique, Keytrade Bank teamFalse67444617d47d1b7e08620754I recently contacted the Keytrade call…NaN1NaN2024-11-29T09:14:38.000ZNaNNaNNaN2024-11-25T13:41:08.000ZenFalseTrue
9122024-11-21T19:09:47.000ZFalseNaN52024-11-21T00:00:00.000ZFalseNaNSaw many others complaining about support and want to give good feedback to balance out a bit.\n\nI’ve been customer for around 14y now, got trading, current account, pension and since few months also visa.\n\nCost for current account is as advertised, no cost and gives back a cent per transaction. (Unlike ING that changed free online account into 2e/month).\nThe debit card works as other banks, also outside EU.\n\nTrading is same day (dep on market open hour) while ING has a delay of 1d last time I tried.\n\n\nSupport:\nI never called on phone, had few queries on different topic through the years and I did all via email with good response time and result. I’m happy in general.\n\n\n2024-11-21T19:09:47.000ZBEinvitationOrganicNaN1NaNFalseFalseNaNNaNnot-verifiedNaNVincent55bb98180000ff0001d0b2c2Hello Vincent,\n\nYour positive review means a lot to us. Thank you for taking the time to share your experience.\nWe're committed to providing excellent service and your feedback encourages us to do better.\n\nBest regards,\nVéronique on behalf of the Keytrade Bank teamFalse673f695bdadc4e4e7d955506Good trading and email support okNaN1NaN2024-11-22T09:33:12.000ZNaNNaNNaNNaNenFalseFalse
consumer_numberOfReviewsdates_publishedDatelabels_verification_isVerifiedconsumer_imageUrlratingdates_experiencedDatelabels_verification_hasDachExclusionreport_reasontextlabels_verification_createdDateTimeconsumer_countryCodelabels_verification_verificationSourcelabels_verification_reviewSourceNameconsumersReviewCountOnSameLocationconsumersReviewCountOnSameDomainreport_reasons_0filteredconsumer_isVerifiedreportreport_reviewVisibilitylabels_verification_verificationLevelreport_sourceconsumer_displayNameconsumer_idreply_messagependingidtitlereplylikeslabels_mergedreply_publishedDatelocationreport_createdDateTimereply_updatedDatedates_updatedDatelanguagehasUnhandledReportsconsumer_hasImage
1039312019-06-30T11:30:38.000ZFalsehttps://user-images.trustpilot.com/5bcddf254de5666d3474f2b5/73x73.png1NaNFalseNaNUntrustworthy & very high fees!! :( Keytrade bought my pension account from Rabobank without my permission. I can't believe that this is legal (and it probably isnt) I tried to close this account and move my assets to my trusted Belgian bank Argenta. Keytrade delays the process and asked an extravagant fee... I recommend Argenta2019-06-30T11:30:38.000ZIDinvitationOrganicNaN1NaNFalseFalseNaNNaNNaNNaNTimo Hutsebaut5bcddf254de5666d3474f2b5NaNFalse5d189d5e42fa560424849684Expensive high feesNaN1NaNNaNNaNNaNNaN2021-07-15T21:06:58.000ZenFalseTrue
104042019-06-28T09:37:58.000ZFalsehttps://user-images.trustpilot.com/5d15dfef97935f06c1d607d9/73x73.png1NaNFalseNaNIf you don't want your money stolen by this bank, please walk away as far as possible. This is the worst bank I have ever dealt with. Worst client relationship management ever! I submitted a request to close my bank account with them one and a half month ago but never received a formal response since then. Recently, I discovered by chance that I could not access my online bank account anymore and yet, still did not receive any money in the bank account where I asked to transfer the money to. Honestly, I was happy with the bank several years ago, before keytrade was bought by the French bank. Now, I would suggest everyone who is considering this bank please walk away from this bank. The little award they offer for attracting your money is peanut comparing to the money they rip off you!2019-06-28T09:37:58.000ZNLinvitationOrganicNaN1NaNFalseFalseNaNNaNNaNNaNHelen Ding5d15dfef97935f06c1d607d9NaNFalse5d15dff642fa560af42e4768If you don't want your money stolen by…NaN4NaNNaNNaNNaNNaNNaNenFalseTrue
104192019-04-15T18:30:04.000ZFalseNaN5NaNFalseNaNHappy customer since many years.\n\nIf you are an old style person, you love going to the bank for this and that, you love talking to people and (specially) you love paying high costs this bank is not for you.\n\nIf you're flexible, if you want to avoid going to the bank (they have no offices), if you want to do everything by email and (specially) you want to have very competitive costs ( they don't charge you, actually they pay you for each transaction :) ) this is a bank for you.2019-04-15T18:30:04.000ZBEinvitationOrganicNaN1NaNFalseFalseNaNNaNNaNNaNOmar C.5c1192d56b8fe64e268f110dNaNFalse5cb4cdaca8436908c40a5d02Happy customer since many years :)NaN1NaNNaNNaNNaNNaNNaNenFalseFalse
1042192019-01-12T00:26:20.000ZFalseNaN1NaNFalseNaNAmateuristische bankinstelling die in de media veel beloven , maar weinig doen .Volledig dossier met de post verstuurd . Men vraagt deze nogmaals op via mail . Dossier wordt door verschillende personen behandeld zodat men na 6 weken nog geen Visa kaart heeft en men de voorwaarden telkens verandert . E-mails zijn in een fout Nederlands ,zodat men als Vlaming er beter weg kan blijven .Heb me uiteindelijk tot een andere bank gewend . Binnen de vier dagen Visa en bankkaart zonder enige verplichting .2019-01-12T00:26:20.000ZBEinvitationOrganicNaN1NaNFalseFalseNaNNaNNaNNaNGewijde56af6d7a0000ff000a01db9bNaNFalse5c39342c9d378009a45b5fa6Amateuristische bankinstellingNaN2NaNNaNNaNNaNNaN2019-07-01T23:16:23.000ZnlFalseFalse
104312018-10-03T21:03:59.000ZFalseNaN1NaNFalseNaNUnacceptably poor customer service. Have been trying to change my address for -litterally- 3 months. Multiple phone calls and uncountable emails later they still have not managed to do it. Save yourself the pain and use one of the many other platforms that are available!2018-10-03T21:03:59.000ZGBinvitationOrganicNaN1NaNFalseFalseNaNNaNNaNNaNNick Geens5bb52ebe4de5666d34e65760NaNFalse5bb52ebf9d37800a547aa54aUnacceptably poor customer serviceNaN4NaNNaNNaNNaNNaNNaNenFalseFalse
104452018-10-03T13:46:02.000ZFalseNaN1NaNFalseNaNIk heb recent een rekening geopend mede door de actie: ontvang 50 euro wanneer u een rekening bij ons opent. Ik voldoe aan alle voorwaarden, de betalingstermijn is vervallen maar nog steeds geen geld. \n\nKomt daar bovenop bij dat ik hieromtrent enkel mails heb verstuurd alsook hen gecontacteerd heb via Messenger maar geen antwoord... \n\nIk was van plan bij hen te beleggen maar met zo'n bank wil ik niets te maken hebben. \n\nVer van weg blijven is mijn raad, je zou maar eens serieuze problemen hebben en dan zo'n klantenservice... Een ware schande!2018-10-03T13:46:02.000ZBEinvitationOrganicNaN1NaNFalseFalseNaNNaNNaNNaNThe site5733395d0000ff000a1f2bcaNaNFalse5bb4c81a9d3780083416ac6dKomen afspraken niet na en antwoorden niet op mails!NaN1NaNNaNNaNNaNNaNNaNnlFalseFalse
104512018-08-02T14:59:09.000ZFalsehttps://user-images.trustpilot.com/5b631c274de5666d346d5424/73x73.png1NaNFalseNaNDissapointing customer service. Never got any reply to my questions through their website form.2018-08-02T14:59:09.000ZPLinvitationOrganicNaN1NaNFalseFalseNaNNaNNaNNaNPrzemysław Figura5b631c274de5666d346d5424NaNFalse5b631c3d9d2def0fc433676aDissapointing customer serviceNaN1NaNNaNNaNNaNNaNNaNenFalseTrue
1046102018-04-15T00:56:49.000ZFalsehttps://user-images.trustpilot.com/5a37c0b60000ff000af2b303/73x73.png2NaNFalseNaNEen goeie en betrouwbare bank. Aangezien zij een internetbank zijn zonder filialen, hebben ze ook de goedkoopste transactiekosten voor beleggingen. \n\nOok hun internetbankieren platform is overzichtelijk en gebruiksvriendelijk. \n\nDaarbovenop zeer aangenaaam dat men 5cent per verrichting als beloning ontvangt.\n\nIk ben al 3-4 jaar een tevreden klant.\n\n@Update: Na de tevreden review hier, moet ik jammer genoeg ook een significante tegenvaller melden. De 'banking' is nog steeds tiptop in orde. Maar ik heb sinds kort ook enkele aandelen gekocht bij de 'investing' sectie. Niet alleen, dat er gebruik werd gemaakt van een enigsinds onvoorzichtige plaatsing van een order door GTC/DAG niet te in rekening te hebben gebracht (waar ik niet zou verstaan dat er langs de andere kant dezelfde fout zou zijn gemaakt), is het volgende nog onaangenamer en heeft mij aangezet 'niet zo' te adderen aan de titel.\n\nIk heb de support d.m.v. mail en een telefonisch gesprek op 7 augustus op de hoogte gebracht van het volgende probleem betreft de verkoop van een "AANDEEL". De foutmelding was de volgende: \nSell LONG order blocked: u kan geen verkoop 'closing' plaatsen onder dit instrument. \n\nDit zou dus van toepassing 'kunnen' zijn indien dit over een OPTIE ging, en is dus complete nonsense wanneer deze foutmelding bij een aandeel tevoorschijnkomt. Nu geen probleem, fouten zijn mogelijk en wanneer Ketytrade daar weet van zou hebben en direct hebben opgelost was hier eigenlijk ook geen enkel probleem geweest. Bij het telefonische contact hebben ze mij dan verteld dat ze dat spoedig in orde gingen brengen nadat zij voor mij deze order ook niet konden sluiten (Het aandeel was op 4.92 SEK wanneer ik deze orders instelde, heb ook markt verkoop geprobeerd maar tevergeefs). De man aan de telefoon zou mij dan terugbellen in de namiddag voor een nieuwe verkooporder in te stellen en deze dan natuurlijk zonder transactiekosten laten doorgaan, dat is nooit gebeurt en ook de mailing met Frederik De Boes van de support heeft niet meer geantwoord na een derde mail met de vraag om dit probleem op te lossen (was duidelijk gepresenteerd, screenshot en dergelijke bijgevoegd in de bijlage). Het aandeel staat vandaag op 3.58 SEK, en de optie is blijkbaar zonder mij op de hoogte te hebben gebracht dan eindelijk in orde gebracht nadat ik hier 22 augustus hun nogmaals van op de hoogte bracht per mail. Alles leuk maar wie zal opdraaien voor de 37,xx% die nu weg is aan de potentiële cash die ik daar zou hebben voor gekregen, ik had het toen met winst, nu met verlies. Ook heb ik een nieuwe limiet ingesteld maar daar zal ik ongetwijfeld de transactiekosten wel van mogen betalen. Dusja niet zo betrouwbaar, bovendien ook nalatig. Dat is de nieuwe beoordeling en 2 sterren aangezien de banking zelf nog steeds zeer goed is.2018-04-15T00:56:49.000ZBEinvitationOrganicNaN1NaNFalseFalseNaNNaNNaNNaNJoachim Snellings5a37c0b60000ff000af2b303NaNFalse5ad2a3516d33bc0a24ff02cfEen goeie en niet zo betrouwbare bankNaN2NaNNaNNaNNaNNaN2018-08-28T13:38:41.000ZnlFalseTrue
104722018-01-27T19:09:55.000ZFalseNaN4NaNFalseNaNAl heel lang klant als belegger en nooit echt issues. De site is echter niet zo gebruiksvriendelijk en anno 2018 zijn de transactiekosten voor VS orders nog steeds belachelijk duur. Ze durven nog steeds 29,95$ per transactie. Stel je voor. Zijn er echt mensen die nog aan zo'n tarief handelen..?! \nEnkel interessant als je in BE aandelen handelt met kleine bedragen. (<2.500).2018-01-27T19:09:55.000ZBEinvitationOrganicNaN1NaNFalseFalseNaNNaNNaNNaNSmooth5a6cc1fe0000ff000b07b264NaNFalse5a6cce836116dd0f107e7e65Al heel lang klant als belegger en …NaN0NaNNaNNaNNaNNaNNaNnlFalseFalse
104812017-12-03T07:07:45.000ZFalsehttps://user-images.trustpilot.com/59ee121f0000ff000ad88040/73x73.png5NaNFalseNaNMM9597001148 = code promo Keytradebank2017-12-03T07:07:45.000ZBEinvitationOrganicNaN1NaNFalseFalseNaNNaNNaNNaNAvendre Achaineux59ee121f0000ff000ad88040NaNFalse5a23a2c16795300a18aedecdMM9597001148 = code promo KeytradebankNaN0NaNNaNNaNNaNNaNNaNenFalseTrue

Duplicate rows

Most frequently occurring

consumer_numberOfReviewsdates_publishedDatelabels_verification_isVerifiedconsumer_imageUrlratingdates_experiencedDatelabels_verification_hasDachExclusionreport_reasontextlabels_verification_createdDateTimeconsumer_countryCodelabels_verification_verificationSourcelabels_verification_reviewSourceNameconsumersReviewCountOnSameDomainreport_reasons_0filteredconsumer_isVerifiedreport_reviewVisibilitylabels_verification_verificationLevelreport_sourceconsumer_displayNameconsumer_idreply_messagependingidtitlelikesreply_publishedDatereport_createdDateTimereply_updatedDatedates_updatedDatelanguagehasUnhandledReportsconsumer_hasImage# duplicates
012024-06-21T19:45:52.000ZFalsehttps://user-images.trustpilot.com/6675bc4775540f057594b174/73x73.png52024-06-20T00:00:00.000ZFalseNaNusing Keytrade bank for more than 3 years now , with Visa Gold , all free of any kind of charge since i do more than 12 transactionS per year.\ni called customer service to have a higher visa limit because of upcoming travel to the US and they did this within 2 days after providing some documents , very smooth and easy .\nvery satisfied with the service .\nif you guys can add Instant payments and Itsme you will be the best bank in Belgium .2024-06-21T19:45:52.000ZDEinvitationOrganic1NaNFalseFalseNaNnot-verifiedNaNMalek Kahri6675bc4775540f057594b174NaNFalse6675bc5002e31fc71a3b866dusing Keytrade bank for more than 3…1NaNNaNNaNNaNenFalseTrue2
112024-07-11T18:25:24.000ZFalsehttps://user-images.trustpilot.com/6690076acef96e775f533a5f/73x73.png12024-07-11T00:00:00.000ZFalseNaNMy experience is based on nearly 10 contacts over a long period--\n1) it takes forever to get anybody to pick up the phone- several times after 10 minutes, you just give up and hang up- this happens all the time\n2) today, called for a possible false Keytrade communication received.Ended up being screamed at because after having identified myself name,birthdate,birthplace, address and giving 3 of my portefolio stocks I was asked for my last transaction done which I could not recall!\n3) Keytrade app is very non- intuitive and difficult to use- even after years of use , not easy.Compared to Charles Schwab which I also have it's night vs day\n\nNET NET--Awful customer approach and always slow , ineffective and NOT pleasant.2024-07-11T18:25:24.000ZBEinvitationOrganic1NaNFalseFalseNaNnot-verifiedNaNEdward S Mork6690076acef96e775f533a5fDear Mr Mork,\n\nWe regret to hear of your experience. \nWe're working diligently to enhance our services based on feedback like yours.\n\nBest regards,\nVeronique from the Keytrade Bank teamFalse66900774d11a1ff95751eb53Who's in of such a poor customer service02024-07-25T15:35:48.000ZNaNNaNNaNenFalseTrue2
212024-08-08T16:36:59.000ZFalsehttps://user-images.trustpilot.com/66b4d8041a266893e9292737/73x73.png12024-07-01T00:00:00.000ZFalseNaNCard gets blocked because of a scam. So far so good 👍.\nWe received an email that the amount will be transferred back in a couple of days. Medio augustus still waiting on or money... Several calls, different answers, still no refund...just give us back our stolen money and fulfill your promise!2024-08-08T16:36:59.000ZBEinvitationOrganic1NaNFalseFalseNaNnot-verifiedNaNAlbert en Marilyn66b4d8041a266893e9292737Hello Albert en Marilyn,\n\nWe regret what you have experienced. Based on your comment, we cannot find the details of your file. Can you please provide your details in order to verify the situation?\n\nKind regards,\nVeronique, member of the Keytrade Bank teamFalse66b4d80b703d6de2778784c7Still waiting on our stolen money02024-08-20T12:17:28.000ZNaNNaNNaNenFalseTrue2
312024-12-09T20:08:30.000ZTrueNaN52024-10-16T00:00:00.000ZFalseNaNVery reactive support2024-12-09T20:08:30.000ZBEinvitationBusinessGeneratedLink1NaNFalseFalseNaNinvitedNaNVincent6757321d16939d1ef69b45afNaNFalse6757321e8ee4e66fe6da96d6Very reactive support0NaNNaNNaNNaNenFalseFalse2
422024-07-03T14:44:58.000ZFalseNaN12024-07-03T00:00:00.000ZFalseNaNA Kafkaesque experience. Endless loops, nonintuitive, arrogant customer service. I'm out.2024-07-03T14:44:58.000ZBEinvitationOrganic1NaNFalseFalseNaNnot-verifiedNaNAnette6685471f240d5610e5fe1cbfNaNFalse668547caa4250357174b34dfNot recommended0NaNNaNNaNNaNenFalseFalse2
522024-09-19T17:06:53.000ZFalseNaN12024-09-19T00:00:00.000ZFalseNaNI was trying to pay for something a couple of hundreds euro with the credit card and each time I tried to confirm the QR code I was receiving error and it was impossible to finalize the payment. So I called the help desk. The gentlemen on the phone told me there's no request for payment on my account and that problem is with me not with the bank. So thank you for nothing Keytrade Bank - you just lost a client...2024-09-19T17:06:53.000ZDEinvitationOrganic1NaNFalseFalseNaNnot-verifiedNaNKlient Gosia6295dd5f75d4cc00125734e3Dear Klient Gosia,\n\nWe regret to hear of your experience. We're committed to improving our services and your feedback is very valuable to us.\n\nBest regards,\nVéronique, Keytrade Bank teamFalse66ec3e0dddaf52c11686dcdbCustomer service on the lowest level02024-10-09T10:29:59.000ZNaNNaNNaNenFalseFalse2
622024-10-02T09:28:20.000ZFalsehttps://user-images.trustpilot.com/644282084226570013369c78/73x73.png12024-10-02T00:00:00.000ZFalseNaNi tried to open an account for my child, it took 6 weeks to get back with all information and they opened on my name, when i contacted them (40min wait in the phone) they told it was my fault because i didnt selected 'kid's plan' although when they requested the documents they ask me a copy of my id and a copy of my child's id. I have submitted several emails to ask for an update and i get no answers, phone calls wait is 40min at least and service desk does not know what went wrong, just terrible service!2024-10-02T09:28:20.000ZBEinvitationOrganic1NaNFalseFalseNaNnot-verifiedNaNElliot Lopez644282084226570013369c78Dear Mr Lopez,\n\nWe deeply regret to hear about your experience. We strive to provide excellent service to our customers and we will use your feedback to improve.\n\nKind regards,\nVéronique, Keytrade Bank teamFalse66fcf614bcf6d8f57cb7d41ei tried to open an account for my child and all went wrong02024-10-09T10:23:34.000ZNaNNaNNaNenFalseTrue2
722025-01-02T12:43:10.000ZTrueNaN52025-01-02T00:00:00.000ZFalseNaNLogin simplification2025-01-02T12:43:10.000ZBEinvitationBusinessGeneratedLink1NaNFalseFalseNaNinvitedNaNMonir Moutawakkil661bdc6bfc6ed600122d4210NaNFalse67766dbe457fa21ecfca9b97Login simplification0NaNNaNNaNNaNenFalseFalse2
822025-01-09T00:00:16.000ZTrueNaN52025-01-08T00:00:00.000ZFalseNaNNo issues with online banking without having or using bankcards2025-01-09T00:00:16.000ZBEinvitationBusinessGeneratedLink1NaNFalseFalseNaNinvitedNaNJ De Greef57f17bdd0000ff000a49c6dcNaNFalse677ef570e20a3e73eba6d947No complaints1NaNNaNNaNNaNenFalseFalse2
922025-01-13T15:49:44.000ZTrueNaN42025-01-13T00:00:00.000ZFalseNaNinfo concise2025-01-13T15:49:44.000ZBEinvitationBusinessGeneratedLink1NaNFalseFalseNaNinvitedNaNClient MCM5cdc87b0d7bca46191762a69NaNFalse678519f8d0cf31058ac718c8info concise0NaNNaNNaNNaNenFalseFalse2